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TSLA  

Tree-Guided Rare Feature Selection and Logic Aggregation
View on CRAN: Click here


Download and install TSLA package within the R console
Install from CRAN:
install.packages("TSLA")

Install from Github:
library("remotes")
install_github("cran/TSLA")

Install by package version:
library("remotes")
install_version("TSLA", "0.1.2")



Attach the package and use:
library("TSLA")
Maintained by
Jianmin Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-10
Latest Update: 2025-03-17
Description:
Implementation of the tree-guided feature selection and logic aggregation approach introduced in Chen et al. (2024) <doi:10.1080/01621459.2024.2326621>. The method enables the selection and aggregation of large-scale rare binary features with a known hierarchical structure using a convex, linearly-constrained regularized regression framework. The package facilitates the application of this method to both linear regression and binary classification problems by solving the optimization problem via the smoothing proximal gradient descent algorithm (Chen et al. (2012) <doi:10.1214/11-AOAS514>).
How to cite:
Jianmin Chen (2025). TSLA: Tree-Guided Rare Feature Selection and Logic Aggregation. R package version 0.1.2, https://cran.r-project.org/web/packages/TSLA. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 0.1.1 (2025-02-10 12:30)
Other packages that cited TSLA R package
View TSLA citation profile
Other R packages that TSLA depends, imports, suggests or enhances
Complete documentation for TSLA
Functions, R codes and Examples using the TSLA R package
Full TSLA package functions and examples
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